Zobrazeno 1 - 10
of 3 926
pro vyhledávání: '"A Aksan"'
Autor:
Karunratanakul, Korrawe, Preechakul, Konpat, Aksan, Emre, Beeler, Thabo, Suwajanakorn, Supasorn, Tang, Siyu
We propose Diffusion Noise Optimization (DNO), a new method that effectively leverages existing motion diffusion models as motion priors for a wide range of motion-related tasks. Instead of training a task-specific diffusion model for each new task,
Externí odkaz:
http://arxiv.org/abs/2312.11994
We propose a physics-based method for synthesizing dexterous hand-object interactions in a full-body setting. While recent advancements have addressed specific facets of human-object interactions, a comprehensive physics-based approach remains a chal
Externí odkaz:
http://arxiv.org/abs/2309.07907
We present a method for inferring diverse 3D models of human-object interactions from images. Reasoning about how humans interact with objects in complex scenes from a single 2D image is a challenging task given ambiguities arising from the loss of i
Externí odkaz:
http://arxiv.org/abs/2209.02485
Publikováno v:
In European Journal of Obstetrics & Gynecology and Reproductive Biology November 2024 302:125-133
Autor:
Goraya, Nimrit, Madias, Nicolaos E., Simoni, Jan, Kahlon, Maninder, Aksan, Nazan, Wesson, Donald E.
Publikováno v:
In The American Journal of Medicine November 2024 137(11):1114-1127
Publikováno v:
In Journal of Environmental Management October 2024 369
Autor:
Aksan, Emre, Ma, Shugao, Caliskan, Akin, Pidhorskyi, Stanislav, Richard, Alexander, Wei, Shih-En, Saragih, Jason, Hilliges, Otmar
Neural face avatars that are trained from multi-view data captured in camera domes can produce photo-realistic 3D reconstructions. However, at inference time, they must be driven by limited inputs such as partial views recorded by headset-mounted cam
Externí odkaz:
http://arxiv.org/abs/2203.07881
Autor:
Farrag, Karima1,2 (AUTHOR) ayseguel.aksan@ernaehrung.uni-giessen.de, Aksan, Aysegül2,3 (AUTHOR) valeza.ademaj@gmail.com, Ademaj-Kospiri, Valëza2,4 (AUTHOR) lena.leventi@gmail.com, Leventi, Eleni2 (AUTHOR), Stein, Jürgen1,2 (AUTHOR)
Publikováno v:
Diagnostics (2075-4418). Jul2024, Vol. 14 Issue 14, p1515. 10p.
We introduce the dynamic grasp synthesis task: given an object with a known 6D pose and a grasp reference, our goal is to generate motions that move the object to a target 6D pose. This is challenging, because it requires reasoning about the complex
Externí odkaz:
http://arxiv.org/abs/2112.03028
Publikováno v:
In European Journal of Obstetrics & Gynecology and Reproductive Biology August 2024 299:167-172